Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add ur-grue/autopunk-media-skills --skill gdpr-note-writergit clone --depth 1 https://github.com/ur-grue/autopunk-media-skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/ur-grue/autopunk-media-skills/gdpr-note-writer)<a href="https://agentmods.dev/skills/ur-grue/autopunk-media-skills/gdpr-note-writer"><img src="https://agentmods.dev/badge/skills/ur-grue/autopunk-media-skills/gdpr-note-writer/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/ur-grue/autopunk-media-skills/gdpr-note-writer"><img src="https://agentmods.dev/badge/skills/ur-grue/autopunk-media-skills/gdpr-note-writer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00050 | $0.01595 |
| Opus 5 | $0.00025 | $0.00797 |
| Sonnet 5 | $0.00010 | $0.00319 |
| Haiku 4.5 | $0.00005 | $0.00160 |
Grade A, and why
gdpr-note-writer scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 95 lines — stays where its author put it; the contents beside it link to each section on GitHub.
GDPR Note Writer
What This Skill Does
Drafts a GDPR compliance note for a specific piece of journalistic content or data collection activity — documenting the lawful basis for processing personal data, what data is held, how long it is retained, and who has access.
When To Use This Skill
- You are publishing an article, database, or interactive feature that includes personal data about named or identifiable individuals
- You have collected personal data in the course of reporting — interview recordings, source contact details, survey responses — and need to document how it is handled
- Your publication requires internal data protection records for editorial projects
- You are preparing a story that involves scraping, compiling, or analysing datasets containing personal information and need to note your lawful basis and safeguards
What You Need To Provide
Required: A description of the content or activity — what personal data is involved, who the individuals are (e.g. private individuals, public figures, sources, interview subjects), how the data was collected, and what the editorial purpose is.
Optional: How long you intend to retain the data, who within your organisation will have access, whether the data will be shared with third parties, whether any data will be published, the country your publication is based in.
How the Assistant Approaches This
- Identifies the categories of personal data involved (names, images, location data, financial information, health data, etc.) and flags any special category data under GDPR Article 9, which carries higher obligations.
- Determines the most appropriate lawful basis for processing under GDPR Article 6 — and, where special category data is involved, Article 9 — with a focus on the journalistic exemptions that most editorial organisations rely on.
- Drafts a structured compliance note covering: data categories, purpose, lawful basis, retention period, access controls, and any third-party sharing.
- Flags any specific risks or obligations the journalist or editor should be aware of — for example, the right to erasure, the need for a data processing agreement with a freelancer, or heightened obligations when publishing data about vulnerable individuals.
- Produces a document that is ready to file internally or share with a data protection officer for review.
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 12d ago First seen · 95 lines · 50 tokens per session scan A 950c078ef1da
gdpr-note-writer is a skill published in the GitHub repository ur-grue/autopunk-media-skills (32 stars, last pushed 11d ago), licensed MIT. It adds 50 tokens to every session and 1,595 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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